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support MaskFormer export with input shape #3837

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support MaskFormer export with input shape #3837

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21 changes: 19 additions & 2 deletions paddleseg/core/export.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,8 +49,12 @@ def export(args, model=None, save_dir=None, use_ema=False):
save_dir = args.save_dir
os.environ['PADDLESEG_EXPORT_STAGE'] = 'True'

shape = [None, 3, None, None] if args.input_shape is None \
else args.input_shape
if args.input_shape is None:
assert cfg.model_cfg['type'] not in ['MaskFormer'], \
"Please specify `--input_shape` when exporting MaskFormer models!"
shape = [None, 3, None, None]
else:
shape = args.input_shape
input_spec = [paddle.static.InputSpec(shape=shape, dtype='float32')]
model.eval()
model = paddle.jit.to_static(model, input_spec=input_spec)
Expand Down Expand Up @@ -79,6 +83,19 @@ def export(args, model=None, save_dir=None, use_ema=False):
val_dataset_cfg = cfg.val_dataset_cfg
assert val_dataset_cfg != {}, 'No val_dataset specified in the configuration file.'
transforms = val_dataset_cfg.get('transforms', None)
if cfg.model_cfg["type"] in ["MaskFormer"]:
resize_trans = {
"type": "Resize",
"target_size": shape[-2:],
"keep_ratio": False,
"interp": "NEAREST"}
if transforms is None:
transforms = [resize_trans]
else:
for t in transforms:
if t["type"] in ["Resize", "ResizeByShort", "ResizeByLong"]:
t.clear()
t.update(resize_trans)
output_dtype = 'int32' if args.output_op == 'argmax' else 'float32'

# TODO add test config
Expand Down